Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
time series
forecasting
pretrained models
foundation models
time series foundation models
time-series
text-generation-inference
Instructions to use autogluon/chronos-t5-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autogluon/chronos-t5-tiny with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("autogluon/chronos-t5-tiny") model = AutoModelForMultimodalLM.from_pretrained("autogluon/chronos-t5-tiny") - Notebooks
- Google Colab
- Kaggle
File size: 142 Bytes
b4b0f38 | 1 2 3 4 5 6 7 8 | {
"_from_model_config": true,
"decoder_start_token_id": 0,
"eos_token_id": 1,
"pad_token_id": 0,
"transformers_version": "4.37.2"
}
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